A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra‐day data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra‐day data

Published:2020-03-18 Issue:2 Volume:27 Page:55-65
ISSN:1055-615X
Container-title:Intelligent Systems in Accounting, Finance and Management
language:en
Short-container-title:Intell Sys Acc Fin Mgmt

Author:

Lahmiri Salim¹^ORCID

Affiliation:

1. Department of Supply Chain and Business Technology Management, John Molson School of BusinessConcordia University Montreal Canada

Publisher

Wiley

Subject

Finance,General Business, Management and Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/isaf.1470

Reference51 articles.

1. Classification of parkinsonian and essential tremor using empirical mode decomposition and support vector machine

2. Combining heterogeneous classifiers for stock selection

3. Neural network volatility forecasts

4. Golden rule of forecasting: Be conservative

5. A RADIAL BASIS FUNCTION APPROACH TO EARNINGS FORECAST

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecasting price in a new hybrid neural network model with machine learning;Expert Systems with Applications;2024-09

2. Liquidity forecasting at corporate and subsidiary levels using machine learning;Intelligent Systems in Accounting, Finance and Management;2024-08-09

3. Synthetic data generation with deep generative models to enhance predictive tasks in trading strategies;Research in International Business and Finance;2022-12

4. Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook’s prophet framework for stock market prediction: An application in Indian context;Expert Systems with Applications;2022-12

5. Oil and gold price prediction using optimized fuzzy inference system based extreme learning machine;Resources Policy;2022-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3